{"id":"W6925082205","doi":"10.15468/dl.ykut2x","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Reference data","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000110288,0.0002204544,0.0001824249,0.0001658379,0.0002022609,0.00004562909,0.0004295746,0.0002838115,0.01400892],"category_scores_gemma":[0.00004738185,0.0002694859,0.00007408788,0.0005649981,0.00006690845,0.0003729945,0.0001792594,0.0005393115,0.02976104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003712286,"about_ca_system_score_gemma":0.00003488106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004848364,"about_ca_topic_score_gemma":0.000002724816,"domain_scores_codex":[0.9991264,0.000010552,0.0002765853,0.0001129148,0.0002453113,0.0002282855],"domain_scores_gemma":[0.9993786,0.000009819307,0.0000629826,0.0004212227,0.00007240854,0.00005501753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002243762,0.000009074954,0.00008215974,0.0001263236,0.00003909145,0.000001641269,0.00001068894,0.002419317,7.386848e-8,4.59485e-7,0.9966022,0.0007066954],"study_design_scores_gemma":[0.0001273563,0.00001344922,0.00001686618,8.138305e-7,0.00002413795,0.00000624539,0.00004666129,0.000002921515,0.000003069022,8.427839e-7,0.9995128,0.0002448575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003100245,0.00003279238,0.00003188093,0.00004907252,0.0009561842,0.0001453795,0.9974539,0.000865581,0.0001551479],"genre_scores_gemma":[0.0000370471,0.00007298657,0.000002182288,0.0000787761,7.073097e-7,0.00001214096,0.9997961,2.257179e-8,5.403184e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01575212,"threshold_uncertainty_score":0.9999757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008540715940388213,"score_gpt":0.1858073300417985,"score_spread":0.1772666141014103,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}